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Please use this identifier to cite or link to this item: https://doi.org/10.1088/0305-4470/28/1/005
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dc.titleSynapse removal in discrete neural networks
dc.contributor.authorViswanathan, R.
dc.date.accessioned2014-11-27T09:45:49Z
dc.date.available2014-11-27T09:45:49Z
dc.date.issued1995
dc.identifier.citationViswanathan, R. (1995). Synapse removal in discrete neural networks. Journal of Physics A: Mathematical and General 28 (1) : L25-L30. ScholarBank@NUS Repository. https://doi.org/10.1088/0305-4470/28/1/005
dc.identifier.issn03054470
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111213
dc.description.abstractThe effect of removing synapses of particular magnitudes on the retrieval property of perceptron neural networks is determined by means of a space-of-interactions calculation. For a discrete state perceptron, an asymptotic (in number of input neurons) upper bound on the number of errors made in a set of given stored patterns due to synapse removal is computed as a function of the number and size of synapses removed.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.doi10.1088/0305-4470/28/1/005
dc.description.sourcetitleJournal of Physics A: Mathematical and General
dc.description.volume28
dc.description.issue1
dc.description.pageL25-L30
dc.identifier.isiutA1995QB10300005
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